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Internship (6-12 months) - Machine Learning, AI and Algorithms (w/m/d)

Internship (6-12 months) - Machine Learning, AI and Algorithms (w/m/d)

Swiss Life Holding

Versicherungen

  • Zürich
  • Studierende
Vor OrtAktiv auf Suche

Internship (6-12 months) - Machine Learning, AI and Algorithms (w/m/d)

Über diesen Job

Pursue your ambitions Work in an inspiring environment that supports you in your multifaceted life – join our team as a/an:

Internship (6-12 months) - Machine Learning, AI and Algorithms (w/m/d)

Schweiz

Zürich

We are seeking a dynamic and driven intern to join the ML and AI team with a focus on Machine Learning and AI. This internship provides a unique opportunity to work on cutting-edge R&D, ML products and services, and gain hands-on experience in the field of building AI-driven software services. The intern will collaborate closely with experienced professionals, participate in cross-functional teams, and contribute to the growth and innovation of our AI-based products.

Embrace versatility

Your area of responsibility

  • Work on ML-driven R&D and deep-learning algorithms
  • Collaborate with the ML and AI team to define, design, and implement AI features
  • Contribute to building cloud-based ML-Ops and pipelines using advanced Python and Azure services
  • Exploit Azure ML and Azure Open AI Services using our cloud infrastructure
  • Potentially also work on LLMOps using related APIs and vector databases to enhance product capabilities
  • Contribute to product documentation, training materials, and knowledge sharing within the team
Live up to your potential

Your strengths

  • Master degree in computer science, engineering, mathematics or a related field
  • Experience implementing advanced deep learning algorithms
  • Solid understanding of theoretical concepts related to deep learning
  • Solid skills in Python programming, Tensorflow, Pytorch, Pyspark
  • Experience with at least one of the following programming languages: C, C#, C++, Java
  • Experience with GPU-parallelization and tensorization of algorithm components
  • Fluent English communication skills, both written and verbal
  • Familiarity with MLOps and LLMOps on Azure and related Azure services is a plus
  • Previous internship experience in industry as well as contributions to scientific publications are a plus

For recruitment agencies

For this position, Swiss Life is not accepting any spontaneously submitted application dossiers from recruitment agencies. Only applications submitted by prior agreement via the recruitment agency jobs portal will be accepted.

No responsibility will be accepted for spontaneous applications and any fees/costs incurred. Thank you for your understanding.

Your benefits

Employment conditions and compensation
  • Market-oriented base salary
  • Bonus based on company results and personal performance
  • Between 25 and 30 days of holiday
  • Recognition of service anniversaries every five years
Development opportunities
  • Internal further training offering
  • Support for external training and development
  • Electronic learning platform
  • Annual performance meeting and development plan
  • Talent promotion programmes
  • Career planning
  • E-coaching tool
Family
  • Free advisory and placement services for family matters
  • Birth allowance
  • Up to six months of maternity leave, of which at least 16 weeks are with full salary
  • 15 days of paid paternity leave
  • Up to ten days per year to care for sick family members not living in the same household
Flexibility
  • Flexible working hours
  • Mobile Office
  • Time-out models
  • Flexible working models 58+
Health
  • Events and courses on health
  • Healthy and balanced catering in the staff restaurant
  • Physiotherapy and massages
  • Company-supported sport offerings
  • In-house advice on physical and psychological health, if necessary
Discounts
  • Individual advice on financial and legal security
  • Mortgage discount
  • Swiss Life investment products
  • Preferential conditions at various partner companies
  • Discount of up to 35% on public transport
  • Meal allowance (not available to members of senior management)
  • Reka cheques (not available to members of senior management)
Pension provision and social benefits
  • Discount of up to 65% on premium contributions for pillar 3 life insurance
  • Pension fund with employer contributions averaging 70% (savings and risk contributions)
  • Above-average benefits in the event of accident and illness

About Swiss Life

With our individual insurance and financial advice, we help people in all life situations prepare their financial future and enable them to lead a financially self-determined life.

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Unternehmensdetails

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Swiss Life Holding

Versicherungen

1.001-5.000 Mitarbeitende

Hannover, Deutschland

Bewertung von Mitarbeitenden

Vorteile für Mitarbeitende

Flexible Arbeitszeiten
Home-Office
Kantine
Restaurant-Tickets
Kinderbetreuung
Betriebliche Altersvorsorge
Barrierefreiheit
Gesundheitsmaßnahmen
Betriebsarzt
Training
Parkplatz
Günstige Anbindung
Vorteile für Mitarbeitende
Firmenwagen
Smartphone
Gewinnbeteiligung
Veranstaltungen
Privat das Internet nutzen
Hunde willkommen

Unternehmenskultur

Swiss Life Holding

Branchen-Durchschnitt

Unternehmenskultur

1835 Mitarbeitende haben abgestimmt: Sie bewerten die Unternehmenskultur bei Swiss Life Holding als modern. Der Branchen-Durchschnitt tendiert übrigens in Richtung modern.

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